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Developing Data-Intensive Cloud Applications with Iterative Quality Enhancements

Deliverables

Monitoring and data warehousing tools - Initial version

This deliverable will document the monitoring and data archival methodology developed in T4.1 and the related implementation.

DICE delivery tools - Initial version

Implementation and accompanying report on the algorithms and tools developed in T5.1 and T5.2.

DICE framework - Final version

Report and open source releases of the integrated solution of T1.3 at M24 and updated at M30.

DICE optimisation tools - Final version

This deliverable is the implementation (with an accompanying document) of the design space exploration tool for the cost minimisation of architecture and deployment plans, as developed in T3.4. Besides releasing code, it will feature a report documenting the implementation.

DICE verification tools - Intermediate version

This deliverable is the implementation (with an accompanying document) of the verification tool to evaluate safety of data-intensive applications, as developed in T3.3. Besides releasing code, it will feature a report documenting the implementation.

Iterative quality enhancement tools - Initial version

This deliverable will describe the methods and release the tool implementations developed in T4.3.

DICE testing tools - Final version

Implementation and accompanying report on the algorithms and testing framework developed in T5.3 and the fault injection tools in T5.4.

DICE testing tools - Initial version

Implementation and accompanying report on the algorithms and testing framework developed in T5.3 and the fault injection tools in T5.4.

DICE delivery tools - Final version

Implementation and accompanying report on the algorithms and tools developed in T5.1 and T5.2.

Quality anomaly detection and trace checking tools - Final version

This deliverable will give implementation and documentation for the techniques developed in T4.2.

Iterative quality enhancement tools - Final version

This deliverable will describe the methods and release the tool implementations developed in T4.3.

DICE delivery tools - Intermediate version

Implementation and accompanying report on the algorithms and tools developed in T5.1 and T5.2.

DICE verification tools - Final version

This deliverable is the implementation (with an accompanying document) of the verification tool to evaluate safety of data-intensive applications, as developed in T3.3. Besides releasing code, it will feature a report documenting the implementation.

DICE verification tools - Initial version

This deliverable is the implementation (with an accompanying document) of the verification tool to evaluate safety of data-intensive applications, as developed in T3.3. Besides releasing code, it will feature a report documenting the implementation.

DICE framework - Initial version

Report and open source releases of the integrated solution of T1.3 at M24 and updated at M30.

DICE simulation tools - Intermediate version

This deliverable is the implementation (with an accompanying document) of the verification tool to evaluate safety of data-intensive applications, as developed in T3.3. Besides releasing code, it will feature a report documenting the implementation.

DICE simulation tools - Final Version

This deliverable is the implementation (with an accompanying document) of the verification tool to evaluate safety of data-intensive applications, as developed in T3.3. Besides releasing code, it will feature a report documenting the implementation.

DICE optimisation tools - Initial version

This deliverable is the implementation (with an accompanying document) of the design space exploration tool for the cost minimisation of architecture and deployment plans, as developed in T3.4. Besides releasing code, it will feature a report documenting the implementation.

Monitoring and data warehousing tools - Final version

This deliverable will document the monitoring and data archival methodology developed in T4.1 and the related implementation.

DICE simulation tools - Initial version

This deliverable is the implementation (with an accompanying document) of the verification tool to evaluate safety of data-intensive applications, as developed in T3.3. Besides releasing code, it will feature a report documenting the implementation.

Quality anomaly detection and trace checking tools - Initial version

This deliverable will give implementation and documentation for the techniques developed in T4.2.

Architecture definition and integration plan - Initial version

Report on the architecture defined in T1.2 and its integration plan that will guide T1.3. The main version will be released at M9 and updated at M24.

Final assessment report and impact analysis

The final report summarising all the results of achieved in the demonstrators and the expected impact arising from these conclusions.

DICE methodology

This deliverable will summarise the DICE methodology and the design workflow developed within T2.4.

Deployment abstractions - Initial version

This deliverable will provide the specification of DICE DDSM meta-models and the TOSCA DSL extension for deployment of data-intensive applications in private and public clouds developed within T2.3.

Transformations to analysis models

This deliverable describes and implements the model transformation techniques to obtain simulation and verification models from the application models, as developed in T3.1.

Design and quality abstractions - Final version

This deliverable will provide the specification of the functional and quality modelling abstractions developed within T2.1 and T2.2.

Architecture definition and integration plan - Final version

Report on the architecture defined in T1.2 and its integration plan that will guide T1.3. The main version will be released at M9 and updated at M24.

Deployment abstractions - Final version

This deliverable will provide the specification of DICE DDSM meta-models and the TOSCA DSL extension for deployment of data-intensive applications in private and public clouds developed within T2.3.

Requirement specification

Report presenting the requirements defined in T1.1. The initial version will focus on the requirements of the technical work packages and outline the initial requirements of the use cases, which will be later extended at M16 in D6.1 for the demonstrators.

Demonstrators implementation plan

Stemming from the initial requirements in T1.1, this deliverable will define a concrete implementation plan for the demonstrators.

State of the art analysis

Document presenting the state of the art review performed in T1.1.

Design and quality abstractions - Initial version

This deliverable will provide the specification of the functional and quality modelling abstractions developed within T2.1 and T2.2.

Cloud testbed setup

Report on the testbed setup by FLEXI including a description of the fault-injection tools and techniques developed on top of this testbed. The DICE FDL plug-in developed by FLEXI will also be described in this deliverable. This deliverable will report the efforts by documenting the testbed developed in T5.4.

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Publications

On Throughput Approximation of Resource-Allocation Systems by Bottleneck Regrowing

Author(s): Ricardo J. Rodriguez, Javier Campos
Published in: IEEE Transactions on Control Systems Technology, Issue Nov 2017, 2017, Page(s) 1-8, ISSN 1063-6536
DOI: 10.1109/TCST.2017.2768512

A Systematic Approach for Performance Assessment Using Process Mining

Author(s): S. Bernardi (ZAR), J. L. Domínguez (PRO), A.Gómez (ZAR), C. Joubert (PRO), J. Merseguer (ZAR), D. Perez-Palacin, (ZAR), J.I. Requeno (ZAR) and A. Romeu (PRO)
Published in: Empirical Software Engineering, 2018, Page(s) 1-48, ISSN 1382-3256
DOI: 10.5281/zenodo.1010446

Towards a Model-Driven Engineering approach for the assessment of Non-Functional Properties using multiformalism

Author(s): Simona Bernardi (ZAR), Stefano Marrone, José Merseguer (ZAR), Roberto Nardone, Valeria Vittorini
Published in: Software and System Modeling, 2017, ISSN 1619-1366
DOI: 10.1007/s10270-018-0663-8

Fluid Petri Nets for the Performance Evaluation of MapReduce and Spark Applications

Author(s): Eugenio Gianniti, Alessandro Maria Rizzi, Enrico Barbierato, Marco Gribaudo, Danilo Ardagna
Published in: ACM SIGMETRICS Performance Evaluation Review, Issue 44/4, 2017, Page(s) 23-36, ISSN 0163-5999
DOI: 10.1145/3092819.3092824

Contention-Aware Workload Placement for In-Memory Databases in Cloud Environments

Author(s): Karsten Molka, Giuliano Casale
Published in: ACM Transactions on Modeling and Performance Evaluation of Computing Systems, Issue 2/1, 2016, Page(s) 1-29, ISSN 2376-3639
DOI: 10.1145/2961888

Quantitative Analysis of Apache Storm Applications: The NewsAsset Case Study

Author(s): J.I. Requeno (ZAR), J. Merseguer (ZAR), S. Bernardi (ZAR), D. Perez-Palacin (ZAR), G. Giotis (ATC) and V. Papanikolaou (ATC)
Published in: Information System Frontiers, 2018, Page(s) 1-20, ISSN 1387-3326

QD-AMVA: Evaluating systems with queue-dependent service requirements

Author(s): Giuliano Casale, Juan F. Pérez, Weikun Wang
Published in: Performance Evaluation, Issue 91, 2015, Page(s) 80-98, ISSN 0166-5316
DOI: 10.1016/j.peva.2015.06.006

Evaluating approaches to resource demand estimation

Author(s): Simon Spinner, Giuliano Casale, Fabian Brosig, Samuel Kounev
Published in: Performance Evaluation, Issue 92, 2015, Page(s) 51-71, ISSN 0166-5316
DOI: 10.1016/j.peva.2015.07.005

A Petri net tool for software performance estimation based on upper throughput bounds

Author(s): Ricardo J. Rodríguez
Published in: Automated Software Engineering, 2015, ISSN 0928-8910
DOI: 10.1007/s10515-015-0186-2

Maximum Likelihood Estimation of Closed Queueing Network Demands from Queue Length Data

Author(s): Weikun Wang, Giuliano Casale
Published in: ACM SIGMETRICS Performance Evaluation Review, Issue 43/2, 2015, Page(s) 45-47, ISSN 0163-5999
DOI: 10.1145/2825236.2825255

A model-driven approach to survivability requirement assessment for critical systems

Author(s): S. Bernardi, L. Dranca, J. Merseguer
Published in: Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, Issue 230/5, 2016, Page(s) 485-501, ISSN 1748-006X
DOI: 10.1177/1748006X15626017

Guest Editorial: Automation in Software Performance Engineering

Author(s): José Merseguer, Walter Binder, John Murphy
Published in: Automated Software Engineering, Issue 24/1, 2017, Page(s) 71-72, ISSN 0928-8910
DOI: 10.1007/s10515-016-0201-2

Compact Markov-modulated models for multiclass trace fitting

Author(s): Giuliano Casale, Andrea Sansottera, Paolo Cremonesi
Published in: European Journal of Operational Research, Issue 255/3, 2016, Page(s) 822-833, ISSN 0377-2217
DOI: 10.1016/j.ejor.2016.06.005

Architecture of a Scalable Platform for Monitoring Multiple Big Data Frameworks

Author(s): Gabriel Iuhasz, Daniel Pop, Ioan Dragan
Published in: Scalable Computing: Practice and Experience, Issue 17/4, 2016, Page(s) 313-321, ISSN 1895-1767
DOI: 10.12694/scpe.v17i4.1203

A methodology for model-based verification of safety contracts and performance requirements

Author(s): E. Gomez-Martinez, R. J. Rodriguez, C. Benac-Earle, L. Etxeberria, M. Illarramendi
Published in: Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, Issue Article first published online: September 30, 2016, 2016, Page(s) 1-21, ISSN 1748-006X
DOI: 10.1177/1748006X16667328

Current and Future Challenges of Software Engineering for Services and Applications

Author(s): Giuliano Casale, Cristina Chesta, Peter Deussen, Elisabetta Di Nitto, Panagiotis Gouvas, Sotiris Koussouris, Vlado Stankovski, Andreas Symeonidis, Vlassis Vlassiou, Anastasios Zafeiropoulos, Zhiming Zhao
Published in: Procedia Computer Science, Issue 97, 2016, Page(s) 34-42, ISSN 1877-0509
DOI: 10.1016/j.procs.2016.08.278

Optimal Map Reduce Job Capacity Allocation in Cloud Systems

Author(s): Marzieh Malekimajd, Danilo Ardagna, Michele Ciavotta, Alessandro Maria Rizzi, Mauro Passacantando
Published in: ACM SIGMETRICS Performance Evaluation Review, Issue 42/4, 2015, Page(s) 51-61, ISSN 0163-5999
DOI: 10.1145/2788402.2788410

A model driven approach for assessing survivability requirements of critical infrastructures

Author(s): Ugo Gentile, Simona Bernardi, Stefano Marrone, José Merseguer, Valeria Vittorini
Published in: Journal of High Speed Networks, Issue 23/2, 2017, Page(s) 175-186, ISSN 0926-6801
DOI: 10.3233/JHS-170564

Modeling and Analysis of High Availability Techniques in a Virtualized System

Author(s): Xiaolin Chang, Tianju Wang, Ricardo J. Rodríguez, Zhenjiang Zhang
Published in: The Computer Journal, Issue Jun 2017, 2017, Page(s) 1-19, ISSN 0010-4620
DOI: 10.1093/comjnl/bxx049

Accurate modeling and efficient QoS analysis of scalable adaptive systems under bursty workload

Author(s): Diego Perez-Palacin, Raffaela Mirandola, José Merseguer
Published in: Journal of Systems and Software, Issue 130, 2017, Page(s) 24-41, ISSN 0164-1212
DOI: 10.1016/j.jss.2017.05.022

Analyzing replacement policies in list-based caches with non-uniform access costs

Author(s): G. Casale
Published in: IEEE INFOCOM, Issue Yearly, 2018, Page(s) 9

PAX: Partition-Aware Autoscaling for the Cassandra NoSQL Database

Author(s): Salvatore Dipietro, Rajkumar Buyya, Giuliano Casale
Published in: IEEE/IFIP NOMS, Issue Yearly, 2018, Page(s) 9 pages
DOI: 10.5281/zenodo.1136276

Performance Degradation and Cost Impact Evaluation of Privacy Preserving Mechanisms in Big Data Systems

Author(s): """Safia Kalwar (PMI), Eugenio Gianniti (PMI), Joas Yannick Kinouani (NETF), Youssef Ridene (NETF), Danilo Ardagna (PMI) """
Published in: Valuetools 2017 workshop proceedings, Issue Yearly, 2018, Page(s) 1-14

On the Timed Analysis of Big-Data Applications

Author(s): Francesco Marconi (PMI), Giovanni Quattrocchi (PMI),Luciano Baresi (PMI), Marcello M. Bersani (PMI), Matteo Rossi (PMI)
Published in: NFM 2018 Proceedings, Issue Yearly proceedings, 2018, Page(s) 15
DOI: 10.5281/zenodo.1162853

Towards the Performance Analysis of Apache Tez Applications

Author(s): Jose Ignacio Requeno (ZAR), ​Iñigo Gascón (​ZAR), José Merseguer (ZAR)
Published in: Proceedings of the ​4th​ Workshop on Quality Aware DevOps (QUDOS), Issue yearly, 2018

A software architecture framework for quality-aware DevOps

Author(s): Elisabetta Di Nitto, Pooyan Jamshidi, Michele Guerriero, Ilias Spais, Damian A. Tamburri
Published in: Proceedings of the 2nd International Workshop on Quality-Aware DevOps - QUDOS 2016, 2016, Page(s) 12-17
DOI: 10.1145/2945408.2945411

DICE: Quality-Driven Development of Data-Intensive Cloud Applications.

Author(s): G. Casale (IMP), D. Ardagna (PMI), M. Artac (XLAB), F. Barbier (NETF), E. Di Nitto (PMI), A. Henry (NETF), G. Iuhasz (IEAT), C. Joubert (PRO), J. Merseguer (ZAR), V. I. Munteanu (IEAT), J. F. Pérez (IMP), D. Petcu (IEAT), M. Rossi (PMI), C. Sheridan (FLEXI), I. Spais (ATC), D. Vladušič (XLAB).
Published in: MISE 2015 at ICSE 2015, Issue May 16-17 2015, 2015, Page(s) 6

Towards Quality-Aware Development of Big Data Applications with DICE

Author(s): Giuliano Casale (Imperial), Elisabetta di Nitto (Politecnico di Milano), Ilias Spais (ATC)
Published in: ESOCC, Issue 15-17 September 2015, 2015, Page(s) 2

Filling the gap: a tool to automate parameter estimation for software performance models

Author(s): Weikun Wang, Juan F. Pérez, Giuliano Casale
Published in: Proceedings of the 1st International Workshop on Quality-Aware DevOps - QUDOS 2015, 2015, Page(s) 31-32
DOI: 10.1145/2804371.2804379

Modelling multi-tier enterprise applications behaviour with design of experiments technique

Author(s): Tatiana Ustinova, Pooyan Jamshidi
Published in: Proceedings of the 1st International Workshop on Quality-Aware DevOps - QUDOS 2015, 2015, Page(s) 13-18
DOI: 10.1145/2804371.2804374

Maximum Likelihood Estimation of Closed Queueing Network Demands from Queue Length Data

Author(s): Weikun Wang, Giuliano Casale (Imperial)
Published in: The Workshop on MAthematical performance Modeling and Analysis (MAMA 2015), Issue 6/15/2015, 2015, Page(s) 317 - 324

SPACE4Cloud: a DevOps environment for multi-cloud applications

Author(s): Michele Guerriero, Michele Ciavotta, Giovanni Paolo Gibilisco, Danilo Ardagna
Published in: Proceedings of the 1st International Workshop on Quality-Aware DevOps - QUDOS 2015, 2015, Page(s) 29-30
DOI: 10.1145/2804371.2804378

An Overview of Monitoring Tools for Big Data and Cloud Applications

Author(s): Gabriel Iuhasz, Ioan Dragan
Published in: 2015 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2015, Page(s) 363-366
DOI: 10.1109/SYNASC.2015.62

Experiments or Simulation? A Characterization of Evaluation Methods for In-Memory Databases

Author(s): Karsten Molka, Giuliano Casale
Published in: IFIP/IEEE CNSM 2015 Proceedings, Issue 9/11/2015, 2015, Page(s) in print

Service Quality Assurance in Multi-Clouds

Author(s): Dana Petcu
Published in: GECON 2015 Proceedings, Issue 14 Sept 2015, 2015, Page(s) in print

Performance-oriented DevOps: A Research Agenda

Author(s): Andreas Brunnert, André van Hoorn, Felix Willnecker, Alexandru Danciu, Wilhelm Hasselbring, Christoph Heger, Nikolas Herbst, Pooyan Jamshidi, Reiner Jung, Joakim von Kistowski, Anne Koziolek, Johannes Kroß, Simon Spinner, Christian Vögele, Jürgen Walter, Alexander Wert.
Published in: Technical Report SPEC-RG-2015-01, Issue 8/1/2015, 2015

Maximum Likelihood Estimation of Closed Queueing Network Demands from Queue Length Data

Author(s): Weikun Wang, Giuliano Casale, Ajay Kattepur, Manoj Nambiar
Published in: ACM/SPEC ICPE, Issue 14/03/2016, 2016, Page(s) 12

Automated Parameterization of Performance Models from Measurements

Author(s): Giuliano Casale, Simon Spinner, Weikun Wang
Published in: ACM/SPEC ICPE, Issue 14/03/2016, 2016

How bit-vector logic can help improve the verification of LTL specifications over infinite domains

Author(s): Luciano Baresi, Mohammad Mehdi Pourhashem Kallehbasti, Matteo Rossi
Published in: Proceedings of the 31st Annual ACM Symposium on Applied Computing - SAC '16, 2016, Page(s) 1666-1673
DOI: 10.1145/2851613.2851833

Palladio Optimization Suite: QoS optimization for component-based Cloud applications

Author(s): Michele Ciavotta, Michele Ardagna, Anne Koziolek
Published in: Proceedings of the 9th EAI International Conference on Performance Evaluation Methodologies and Tools, Issue 14-16 December, 2015, 2016
DOI: 10.4108/eai.14-12-2015.2262562

Continuous Architecting of Stream-Based Systems

Author(s): Marcello M. Bersani (PoliMi), Francesco Marconi (PoliMi) and Damian A. Tamburri (PoliMi), Pooyan Jamshidi (Imperial), Andrea Nodari (Imperial)
Published in: The 13th Working IEEE/IFIP Conference on Software Architecture (WICSA), Issue 5-8 April 2016, 2016

Towards a model-driven design tool for big data architectures

Author(s): Michele Guerriero, Saeed Tajfar, Damian A. Tamburri, Elisabetta Di Nitto
Published in: Proceedings of the 2nd International Workshop on BIG Data Software Engineering - BIGDSE '16, 2016, Page(s) 37-43
DOI: 10.1145/2896825.2896835

Providing big data applications with fault-tolerant data migration across heterogeneous NoSQL databases

Author(s): Marco Scavuzzo, Damian A. Tamburri, Elisabetta Di Nitto
Published in: Proceedings of the 2nd International Workshop on BIG Data Software Engineering - BIGDSE '16, 2016, Page(s) 26-32
DOI: 10.1145/2896825.2896831

Efficient Large-Scale Trace Checking Using MapReduce

Author(s): Marcello M. Bersani (Polimi), Domenico Bianculli, Carlo Ghezzi (Polimi), Srdjan Krstic (Polimi), Pierluigi San Pietro (Polimi)
Published in: The 38th International Conference on Software Engineering (ICSE), Issue May 24-26, 2016, 2016

Support Services for Applications Execution in Multi-Clouds Environments

Author(s): Daniel Pop (UVT), Gabriel Iuhasz (UVT), Ciprian Craciun (IEAT), Silviu Panica (IEAT)
Published in: Proc. of the Workshop on Self Organizing Self Managing Clouds, collocated with IEEE International Conference on Autonomic Computing, Issue 19/07/2016, 2016, Page(s) 4

An Uncertainty-Aware Approach to Optimal Configuration of. Stream Processing Systems

Author(s): P. Jamshidi, G. Casale.
Published in: IEEE MASCOTS 2016, 2016

Model-driven Application Refactoring to Minimize Deployment Costs in Preemptible Cloud Resources

Author(s): Daniel Dubois (IMP), Catia Trubiani (GSSI), Giuliano Casale (IMP)
Published in: IEEE CLOUD 2016, Issue June 27 - July 2 2016, 2016, Page(s) 8

A tool for verification of big-data applications

Author(s): Marcello M. Bersani, Francesco Marconi, Matteo Rossi, Madalina Erascu
Published in: Proceedings of the 2nd International Workshop on Quality-Aware DevOps - QUDOS 2016, Issue July 2016, 2016, Page(s) 44-45
DOI: 10.1145/2945408.2945419

Towards the formal verification of data-intensive applications through metric temporal logic

Author(s): Francesco Marconi (PMI), Marcello Maria Bersani (PMI), Madalina Erascu (IeAT), Matteo G. Rossi (PMI)
Published in: 18th International Conference on Formal Engineering Methods (ICFEM), Issue 14-18 November 2016, 2016, Page(s) 16
DOI: 10.1007/978-3-319-47846-3_13

A systematic approach for performance evaluation using process mining: the POSIDONIA operations case study

Author(s): Simona Bernardi, José Ignacio Requeno, Christophe Joubert, Alberto Romeu
Published in: Proceedings of the 2nd International Workshop on Quality-Aware DevOps - QUDOS 2016, Issue July 2016, 2016, Page(s) 24-29
DOI: 10.1145/2945408.2945413

Towards a UML profile for data intensive applications

Author(s): Abel Gómez, José Merseguer, Elisabetta Di Nitto, Damian A. Tamburri
Published in: Proceedings of the 2nd International Workshop on Quality-Aware DevOps - QUDOS 2016, Issue July 2016, 2016, Page(s) 18-23
DOI: 10.1145/2945408.2945412

A Model Driven Approach for Assessing Survivability Requirements of Critical Infrastructures

Author(s): U. Gentile, S. Bernardi (ZAR), S. Marrone, J. Merseguer (ZAR), V. Vittorini
Published in: International Conference on Data Compression, Communication, Processing and Security (CCPS2016), Issue 22-23 September, 2016, 2016, Page(s) 6

A Tool for Assessing Performance Requirements of Data-Intensive Applications

Author(s): A. Gómez-Llana (ZAR), C. Joubert (PRO), J. Merseguer (ZAR)
Published in: XXIV Jornadas de Concurrencia y Sistemas Distribuidos (JCSD 2016), Issue 15/06/2016, 2016, Page(s) 159-169

Modeling Performance of Hadoop Applications: A Journey from Queueing Networks to Stochastic Well Formed Nets

Author(s): Danilo Ardagna (PMI), Simona Bernardi (ZAR), Eugenio Gianniti (PMI), Soroush Karimian Aliabadi, Diego Perez-Palacin (PMI), and José Ignacio Requeno (ZAR)
Published in: ICA3PP: 16th International Conference on Algorithms and Architectures for Parallel Processing, 2016
DOI: 10.5281/zenodo.58847

D-SPACE4Cloud: A Design Tool for Big Data Applications

Author(s): Michele Ciavotta, Eugenio Gianniti, Danilo Ardagna (PMI)
Published in: ICA3PP: 16th International Conference on Algorithms and Architectures for Parallel Processing, Issue 14-16/12/2016, 2016

Efficient Memory Occupancy Models for In-memory Databases

Author(s): Karsten Molka, Giuliano Casale
Published in: 2016 IEEE 24th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS), 2016, Page(s) 430-432
DOI: 10.1109/MASCOTS.2016.56

A Queueing Network Model for Performance Prediction of Apache Cassandra

Author(s): S. Dipietro, G. Casale, G. Serazzi
Published in: ICST VALUETOOLS, 2016
DOI: 10.5281/zenodo.153836

Performance Prediction for Burstable Clouds resources

Author(s): D. Dubois, G. Casale
Published in: ICST VALUETOOLS, 2016
DOI: 10.5281/zenodo.49068.

Efficient Resource Management in the Cloud

Author(s): Luciano Baresi, Sam Guinea, Giovanni Quattrocchi, and Damian A. Tamburri (PMI)
Published in: IEEE SmartCloud, Issue 18-20/11/2016, 2016

Quality-Aware Development of Big Data Applications with DICE

Author(s): Giuliano Casale, Elisabetta Di Nitto, Pooyan Jamshidi, Damian A. Tamburri
Published in: Proceedings of The 5th European Conference on Service-Oriented and Cloud Computing, 5-7 September, Vienna (AU), 2016, Page(s) 5-7/09/2016

DICE fault injection tool

Author(s): Craig Sheridan, Darren Whigham, Matej Artač
Published in: Proceedings of the 2nd International Workshop on Quality-Aware DevOps - QUDOS 2016, 2016, Page(s) 36-37
DOI: 10.1145/2945408.2945415

Formal Verification of Storm Topologies through D-VerT

Author(s): Francesco Marconi (PMI), Marcello M. Bersani (PMI), Matteo G. Rossi (PMI)
Published in: Proceedings of the Symposium on Applied Computing (SAC) 2017, Issue 3-7 April 2017, 2017, Page(s) 7

Accelerating Performance Inference over Closed Systems by Asymptotic Methods

Author(s): Giuliano Casale
Published in: Proceedings of the 2017 ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems - SIGMETRICS '17 Abstracts, Issue Jun 17, 2017, Page(s) 64-64
DOI: 10.1145/3078505.3078514

DevOps: Introducing Infrastructure-as-Code

Author(s): Matej Artač, Tadej Borovšak, Elisabetta Di Nitto, Michele Guerriero, Damian Andrew Tamburri
Published in: ICSE 2017, Issue May 20-28 2017, 2017, Page(s) 2

Combining Quantitative and Qualitative Studies in Empirical Software Engineering Research

Author(s): Massimiliano Di Penta, Damian Andrew Tamburri
Published in: ICSE 2017, Issue May 20-28 2017, 2017

Generalized Synchronizations and Capacity Constraints for Java Modelling Tools (Demonstration Paper)

Author(s): Giuliano Casale, Mattia Cazzoli, Shuai Jiang, Vitor Lopes, Giuseppe Serazzi and Lulai Zhu
Published in: ICPE 2017, Issue April 17, 2017, Page(s) 2

Towards Omnia: a Monitoring Factory for Quality-Aware DevOps

Author(s): Marco Miglierina (PMI), Damian A. Tamburri (PMI)
Published in: Proceedings of the 3rd Workshop on Quality Aware DevOps (QUDOS), Issue 27-04-2017, 2017

DevOps Performance Engineering: A Quasi-Ethnographical Study

Author(s): Giuseppe Vergori (PMI), Damian A. Tamburri (PMI), Raffaela Mirandola (PMI), Diego Perez-Palacin (ZAR)
Published in: Proceedings of the 3rd Workshop on Quality Aware DevOps (QUDOS), Issue 27-04-2017, 2017

Quality Assessment in DevOps - Automated Analysis of a Tax Fraud Detection System

Author(s): Diego Perez-Palacin, Youssef Ridene, José Merseguer
Published in: Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion - ICPE '17 Companion, Issue 27-04-2017, 2017, Page(s) 133-138
DOI: 10.1145/3053600.3053632

Towards DevOps for Privacy-by-Design in Data-Intensive Applications - A Research Roadmap

Author(s): Michele Guerriero, Damian A. Tamburri, Youssef Ridene, Francesco Marconi, Marcello M. Bersani, Matej Artac
Published in: Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion - ICPE '17 Companion, Issue 27-04-2017, 2017, Page(s) 139-144
DOI: 10.1145/3053600.3053631

Performance Analysis of Apache Storm Applications using Stochastic Petri Nets

Author(s): José-Ignacio Requeno (ZAR), José Merseguer (ZAR), Simona Bernardi (ZAR)
Published in: Proceedings of the 5th IEEE International Workshop on Formal Methods Integration (FMi), Issue 04-08-2017, 2017

Model-driven Engineering IDE for Quality Assessment of Data-intensive Applications

Author(s): Marc Gil, Christophe Joubert, Ismael Torres
Published in: Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion - ICPE '17 Companion, 2017, Page(s) 173-174
DOI: 10.1145/3053600.3053633

Towards a Systematic Model-driven Approach for the Detection of Web Threats and Use Cases

Author(s): Simona Bernardi (ZAR), Raúl Piracés Alastuey (ZAR), Alejandro Solanas Bonilla (ZAR), Raquel Trillo-Lado (ZAR)
Published in: Proceedings of the International Workshop on Petri Nets and Software Engineering (PNSE'17), Issue 26/06/17, 2017, Page(s) 229-230

Formal verification of data-intensive applications through model checking modulo theories

Author(s): Marcello M. Bersani, Francesco Marconi, Matteo Rossi, Madalina Erascu, Silvio Ghilardi
Published in: Proceedings of the 24th ACM SIGSOFT International SPIN Symposium on Model Checking of Software - SPIN 2017, 2017, Page(s) 98-101
DOI: 10.1145/3092282.3092300

Distributed Platforms and Cloud Services Enabling Machine Learning for Big Data. An Overview

Author(s): Daniel Pop (IEAT), Gabriel Iuhasz (IEAT), Dana Petcu (IEAT)
Published in: Data Science and Big Data Computing: Frameworks and Methodologies, Issue 2016, 2016, Page(s) tbc

Towards a Software Architecture Framework for Model-Driven Big-Data Applications

Author(s): Mersedeh Sadeghi
Published in: Politecnico di Milano Master Thesis, Issue 18/09/2015, 2015

A Software Architecture Framework for Model-Driven Big-Data Applications

Author(s): Saeed Tajfar
Published in: Politecnico di Milano Master Thesis, Issue 21/12/2015, 2015

A design-time optimization framework for shared Hadoop Clusters

Author(s): Liliane Tueguem
Published in: Politecnico di Milano Master Thesis, Issue 21/12/2015, 2015

HyperSpark: A Framework for Parallel and Distributed Execution of Optimisation Algorithms over Spark

Author(s): Nemanja Stolic
Published in: Politecnico di Milano Master Thesis, Issue 27/04/2016, 2016

ParadisEO vs HyperSpark:Analysis and benchmarking of two frameworks for distributed metaheuristics

Author(s): Camilo Andres Martinez sarmiento
Published in: Politecnico di Milano Master Thesis, Issue 27/04/2016, 2016

Process Mining to improve Security in Web Information Systems

Author(s): Student: Raúl Piracés Alastuey (University of Zaragoza) Advisors: Simona Bernardi (University of Zaragoza) and Raquel Trillo Lado (University of Zaragoza)
Published in: Master Thesis, 2016

A Design-time Optimization Framework for Private Cloud Big Data Systems

Author(s): Jacopo Rigoli
Published in: Politecnico di Milano Master Thesis, Issue 27/04/2016, 2016

Combining Petri Nets and Queueing Network Models.

Author(s): Zhu, Lulai.
Published in: 2016

Learning Software Performance Changes in Agile Development

Author(s): Carruthers, Lottie
Published in: 2016

A DevOps Canary Testbed for Big Data Application Testing.

Author(s): Zhai, Yifan.
Published in: 2016

A Tool Suite to Automate Hadoop Configuration: An Extension for BO4CO.

Author(s): Chen, Xidi.
Published in: 2016

The Extension of Scheduling Management Algorithms into Java Modelling Tools.

Author(s): Phuangjaisri, Phumin
Published in: 2016

Java Modelling Tools Extension

Author(s): Jiang Shuai
Published in: 2015

Performance evaluation of data-intensive applications with Apache Tez

Author(s): Student: Iñigo Gascón Royo (University of Zaragoza) Advisors: José Ignacio Requeno (University of Zaragoza) and José Merseguer (University of Zaragoza)
Published in: 2017

Performance evaluation of data-intensive applications with Apache Spark

Author(s): Student: Andrés Malo Ascaso (University of Zaragoza) Advisors: José Ignacio Requeno (University of Zaragoza) and José Merseguer (University of Zaragoza)
Published in: 2017

Data Science and Big Data Computing

Author(s): Zaigham Mahmood
Published in: Data Science and Big Data Computing: Frameworks and MethodologDistributed Platforms and Cloud Services Enabling Machine Learning for Big Data. An Overviewies;, 2016
DOI: 10.1007/978-3-319-31861-5

Quality analysis and verification of data-intensive applications

Author(s): Francesco Marconi (PMI)
Published in: Proceedings of the Doctoral Symposium of Formal Methods 2016, Issue 2/5/2016, 2016, ISSN 1613-0073

Minería de procesos para la mejora de la seguridad de sistemas de información Web

Author(s): Raúl Piracés Alastuey, Simona Bernardi and Raquel Trillo Lado
Published in: Proceedings of the IV National Conference of Research and Development in Defence and Security (IV Congreso Nacional de I+D en defensa y seguridad (DESEi+d), 2016

Acto de celebración del 15 aniversario del I3A (XV Anniversary of the Aragón Institute for Engineering Research (I3A) )

Author(s): José Merseguer (ZAR)
Published in: Issue September 14th 2017. (From 9:00 to 14:00), 2017